Moral Machine

Moral Machine is an MIT research activity built around difficult hypothetical choices for autonomous vehicles. It turns an abstract ethics debate into a series of decisions, inviting visitors to consider whose safety a machine should prioritize when every outcome carries harm.

What is Moral Machine?

Moral Machine makes the classic philosophical trolley problem feel uncomfortably close to a traffic lane. Instead of handing over a lecture on machine ethics, it asks visitors to sit with the sort of forced trade-off that makes tidy answers evaporate: if an autonomous vehicle cannot avoid harm, what should it do? The project was built as public-participation research, so the point is not to earn a gold star for choosing correctly. It is to notice which details change your instinct and how different people might read the same scenario. That makes it a sharp conversation starter for anyone curious about self-driving cars, public values, and the awkward gap between a technical system and a human judgment. The questions are deliberately high stakes, but the useful after-effect is often quieter: realizing that an answer can be immediate, sincere, and still difficult to defend.

What you can do there

• Consider a vehicle dilemma
• State a preferred outcome

Why we picked it

Many sites ask for an opinion; this one makes the machinery behind that opinion visible. It offers a memorable doorway into a serious topic without pretending that a few clicks can settle ethics, engineering, or public policy.

How to get the most from it

Treat each choice as a discussion cue rather than a test. Pause after a dilemma, say what detail shaped your answer, then compare reasoning with someone else. The interesting part is usually the explanation that follows the click, not the click itself.

Good to know

The scenarios involve hypothetical fatal crashes and can feel emotionally heavy. Moral Machine records perspectives for research; it is not a personal moral score, legal advice, driving guidance, or a substitute for the public and expert work needed to shape real-world policy.

Who made it, and when?

MIT Media Lab Scalable Cooperation group is the credited creator or organization.